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digital.ahrq.gov/ahrq-funded-projects/i-matter-investigating-mhealth-texting-tool-embedding-patient-reported-data/citation/analyzing
January 01, 2023 - Analyzing user engagement within a patient-reported outcomes texting tool for diabetes management: Engagement phenotype study.
Citation
Mandal S, Belli HM, Cruz J, Mann D, Schoenthaler A. Analyzing user engagement within a patient-reported outcomes texting tool for diabetes management: Engagement phen…
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digital.ahrq.gov/principal-investigator/kim-min-soon
January 01, 2023 - Kim, Min Soon
Association rule mining of real-world data: Uncovering links between race, glycemic control, lipid profiles, and suicide attempts in individuals with diabetes.
Citation
Narindrarangkura P, Alafaireet PE, Khan U, Kim MS. Association rule mining of real-world data:…
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digital.ahrq.gov/sites/default/files/docs/lesson/10-0010-ef-medication-adherence.pdf
November 01, 2009 - provide audio reminders (repeated
until receiving a response by the
patient) to perform SMBG and
take diabetic … support
to provide surveillance and
education and prioritize further
telephone care management to
diabetic … existing chronic disease
management system (composed of
a PHR and secure messaging) to
activate diabetic
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digital.ahrq.gov/ahrq-funded-projects/patient-centered-online-disease-management-using-personal-health-record-system/citation/diabetes
January 01, 2023 - Online disease management of diabetes: Engaging and Motivating Patients Online With Enhanced Resources-Diabetes (EMPOWER-D), a randomized controlled trial.
Citation
Tang PC, Overhage JM, Chan AS, et al. Online disease management of diabetes: Engaging and Motivating Patients Online With Enhanced Resour…
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digital.ahrq.gov/ahrq-funded-projects/harnessing-health-information-technology-self-management-support-and-medication/citation/distance
January 01, 2023 - Hypoglycemia is more common among type 2 diabetes patients with limited health literacy: the diabetes study of Northern California (DISTANCE).
Citation
Sarkar U, Karter AJ, Liu JY, et al. Hypoglycemia is more common among type 2 diabetes patients with limited health literacy: the Diabetes Study of Nor…
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digital.ahrq.gov/ahrq-funded-projects/patient-provider-electronic-messenger-chronic-illness/citation/diabetes-quality
January 01, 2023 - Diabetes quality of care and outpatient utilization associated with electronic patient-provider messaging: a cross-sectional analysis.
Citation
Harris LT, Haneuse SJ, Martin DP, et al. Diabetes quality of care and outpatient utilization associated with electronic patient-provider messaging: a cross-se…
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digital.ahrq.gov/ahrq-funded-projects/patient-centered-diabetes-education-integral-part-electronic-clinic-note/citation/predicting
January 01, 2023 - Predicting suicide attempts among people with diabetes using a large multicenter electronic health records dataset.
Citation
Narindrarangkura P, Alafaireet PE, Khan U, Kim MS. Predicting suicide attempts among people with diabetes using a large multicenter electronic health records dataset. Int J Psyc…
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digital.ahrq.gov/technology/text-messaging
January 01, 2024 - Text Messaging
Conducting internet-based visits for onboarding populations with limited digital literacy to an mHealth intervention: Development of a patient-centered approach.
Citation
Hernandez-Ramos R, Aguilera A, Garcia F, Miramontes-Gomez J, Pathak LE, Figueroa CA, Lyles …
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digital.ahrq.gov/principal-investigator/ballard-david-j
January 01, 2023 - Ballard, David J.
Impact of Health Information Technology Implementation on Diabetes Process and Outcome Measures - Final Report
Citation
Ballard D. Impact of Health Information Technology Implementation on Diabetes Process and Outcome Measures - Final Report. (Prepared by Bay…
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digital.ahrq.gov/ahrq-funded-projects/evaluating-electronic-health-record-data-use-diabetes-quality-reporting/final-report
January 01, 2023 - Evaluating Electronic Health Record Data for Use in Diabetes Quality Reporting - Final Report
Citation
Hirsch A. Evaluating Electronic Health Record Data for Use in Diabetes Quality Reporting - Final Report. (Prepared by Ohio State University under Grant No. R36 HS020165). Rockville, MD: Agency for He…
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digital.ahrq.gov/ahrq-funded-projects/trial-decision-support-improve-diabetes-outcomes/final-report
January 01, 2023 - Trial of Decision Support to Improve Diabetes Outcomes - Final Report
Citation
Cebul RD. Trial of Decision Support to Improve Diabetes Outcomes - Final Report. (Prepared by Case Western Reserve University under Grant No. R01 HS015123). Rockville, MD: Agency for Healthcare Research and Quality, 2008…
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digital.ahrq.gov/ahrq-funded-projects/impact-health-it-implementation-diabetes-process-and-outcome-measures/final-report
January 01, 2023 - Impact of Health Information Technology Implementation on Diabetes Process and Outcome Measures - Final Report
Citation
Ballard D. Impact of Health Information Technology Implementation on Diabetes Process and Outcome Measures - Final Report. (Prepared by Baylor Research Institute under Grant No. R21 …
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digital.ahrq.gov/ahrq-funded-projects/achieve-successfully-achieving-and-maintaining-euglycemia-during-pregnancy/citation/evidence
January 01, 2023 - An evidence-based framework for creating inclusive and personalized mHealth solutions-designing a solution for Medicaid-eligible pregnant individuals with uncontrolled type 2 diabetes.
Citation
Fareed N, Swoboda C, Wang Y, Strouse R, Hoseus J, Baker C, Joseph JJ, Venkatesh K. An evidence-based framewo…
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digital.ahrq.gov/ahrq-funded-projects/patient-centered-diabetes-education-integral-part-electronic-clinic-note/citation/association
January 01, 2023 - Association rule mining of real-world data: Uncovering links between race, glycemic control, lipid profiles, and suicide attempts in individuals with diabetes.
Citation
Narindrarangkura P, Alafaireet PE, Khan U, Kim MS. Association rule mining of real-world data: Uncovering links between race, glycemi…
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digital.ahrq.gov/health-it-tools-and-resources/workflow-assessment-health-it-toolkit/research/sequist-t-et-al-2005
January 01, 2005 - Sequist T et al. 2005 "A randomized trial of electronic clinical reminders to improve quality of care for diabetes and coronary artery disease."
Reference
Sequist T, Gandhi T, Karson A, et al. A randomized trial of electronic clinical reminders to improve quality of care for diabetes and coronary arte…
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digital.ahrq.gov/ahrq-funded-projects/implementation-outcomes-health-information-technology-program-vulnerable-diabetes-patients/final-report
January 01, 2023 - Implementation Outcomes of a Health Information Technology Program For Vulnerable Diabetes Patients - Final Report
Citation
Handley M. Implementation Outcomes of a Health Information Technology Program For Vulnerable Diabetes Patients - Final Report. (Prepared by University of California - San Francis…
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digital.ahrq.gov/ahrq-funded-projects/santa-cruz-county-diabetes-mellitus-registry/final-report
January 01, 2023 - Santa Cruz County, CA Diabetes Mellitus Registry - Final Report
Citation
Littman, E. Santa Cruz County, CA Diabetes Mellitus Registry - Final Report. (Prepared by Pajaro Valley Community Health Trust under Grant No. UC1 HS015362). Rockville, MD: Agency for Healthcare Research and Quality, 2007.
…
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digital.ahrq.gov/sites/default/files/docs/resource/Mostashari_List_of_Measures_TCNY_AQA_eQARR_Crosswalk_1_30_08_Mostashari.pdf
June 16, 2021 - Core Measures TCNY AQA eQARR
Core Measures
TCNY Measures AQA (included in TCNY
Build)
eQARR 2007
Measure
Name
BRIEF
DESCRIPTION
OF MEASURE
OR ALERT
TRIGGER
Measure
Name
BRIEF
DESCRIPTION OF
MEASURE OR
ALERT TRIGGER
Measure Name BRIEF
DESCRIPTION OF
MEASURE OR
ALERT TRIGGER
Assess
tobac…
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digital.ahrq.gov/ahrq-funded-projects/imatter2-ai-driven-approach-supercharge-novel-digital-patient-reported
July 01, 2023 - iMatter2 - An AI-Driven Approach to Supercharge a Novel Digital Patient-Reported Outcomes Tool for Diabetes Management
Project Description
Publications
Events
Implementing an artificial intelligence-supported tool to collect patient-reported outcomes for patients wi…
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digital.ahrq.gov/principal-investigator/schillinger-dean
January 01, 2023 - Schillinger, Dean
Language-concordant automated telephone queries to assess medication adherence in a diverse population: a cross-sectional analysis of convergent validity with pharmacy claims.
Citation
Ratanawongsa N, Quan J, Handley MA, et al. Language-concordant automated t…